01 / RESPONSE
“Did anyone call them back?”
Make every inquiry visible before the first response slips.
AI-ready operations for owner-led businesses
You’re drowning in loose ends.Your business staysafloat becauseyou’re the life raft.
Selle Logic organizes the workflow, information, and decisions behind recurring work—then builds AI systems that keep it moving without you in the middle.
Service inquiriesBilling triggersClient filesCrew assignmentsField-to-officeCallbacksShift changesChange ordersMaintenance ticketsStatus updatesSite visitsEstimatesPurchase requestsJob progress
“Why am I still answering the same questions, chasing down follow-ups, and holding the business together?”
Where work gets stuck
When too many little things feel like bailing water.
Selle Logic brings scattered requests, information, decisions, and next steps into a workflow your team—and eventually AI—can reliably use.
View our service offers →
02 / ESTIMATE
“Is the estimate out?”
Show what is waiting, who owns it, and what must happen next.
03 / OWNERSHIP
“Who owns this lead?”
Assign one person to move each opportunity toward booked work.
04 / FOLLOW-UP
“Why did that customer go cold?”
Keep follow-up visible before a warm lead becomes a forgotten thread.
Diagnosis:
When the answer lives across inboxes, texts and individual memory, good opportunities become another workflow the owner has to chase. Show us the stuck workflow →
The goal isn’t more software. It’s a business that runs better.
The method — owner-led business
Turn recurring work into a system.
We start with the work that keeps returning to the owner. Then we clarify how it should move, give AI a specific job, and put one useful workflow into your team’s hands.
Common systems we build
- Inquiry → booked work
- Estimate → approval
- Customer request → assigned owner
- Client documents → review ready
- Field update → office action
- Project decision → recorded handoff
- Maintenance request → resolved and reported
01
Map the work and information
Follow a real request from intake to completion. Identify who owns each stage, where its information lives, and where the work stalls.
02
Define decisions and access
Set what moves forward, what waits, who can see or change information, what needs approval, and when something should be escalated.
03
Make the next action visible
Give each person the status, context, and next step they need—without chasing the owner.
04
Give AI a specific job
Use AI to collect, organize, check, or draft repeatable work while people remain responsible for important decisions.
05
Launch, measure, and refine
Put one workflow into use, measure time saved and delays reduced, and improve it from real work.
Where Selle Logic fits
The same workflow problems slow down very different businesses.
Across construction, healthcare, accounting, real estate, manufacturing, and service businesses, Selle Logic fixes the handoffs, decisions, and ownership first—then adds AI where it can carry meaningful work.
Lead → booked work
Good leads go cold before work gets booked
Connect response, qualification, follow-up, scheduling, and handoff so every opportunity has an owner and a visible next step.
Often seen in home services, construction, real estate, and professional services.
Intake
Requests arrive everywhere
Bring texts, calls, forms, and email into one clear path with an owner.
Often seen in healthcare, accounting, and real estate.
Handoffs
Work disappears between people
Make every transfer visible, with the context and next step attached.
Often seen in construction, manufacturing, and advisory.
Field → office
The field and office lose sync
Capture updates where work happens and route them to the right person.
Often seen in construction, property management, and manufacturing.
Decisions
Every answer waits on the owner
Turn repeatable judgment into clear rules so the team can keep moving.
Often seen in advisory, healthcare, and manufacturing.
Follow-up
Progress depends on someone chasing it
Automate reminders, status updates, and routine coordination.
Often seen in real estate, vacation rental, and healthcare.
AI fit
The business isn’t ready to trust AI yet
Find the workflow, information, ownership, and review rules AI needs before it takes on real work.
Often seen in construction, real estate, and accounting.
AI chat
Your chatbot answers. Work still waits.
Connect AI to owned information, decisions, and next steps so it does more than respond to prompts.
Often seen in advisory, healthcare, accounting, and professional services.
Quick-built app
The vibe-coded app isn’t ready for real work.
Turn a promising prototype into a dependable workflow with permissions, edge cases, human review, and clear ownership.
Often seen in startups, internal tools, and owner-built systems.
Build for owner independence
Build a business that keeps its knowledge when you step back.
A business is difficult to delegate—or eventually sell—when its decisions, exceptions, customer context, and operating knowledge live in the owner’s head.
Selle Logic turns one recurring workflow into a visible, documented system the team can run and AI can support. The result is a business that works better today and depends less on the owner tomorrow.
We preserve how the business actually works
Document recurring decisions, exceptions, customer context, and hard-won judgment before they leave with the owner.
We turn knowledge into an owned workflow
Give every request a path, every decision a rule, and every next step a clear owner.
We prepare the team—and AI—to carry the work
Let AI organize, check, draft, and remind while people retain approval, accountability, and judgment.
The rule:
AI carries the routine. People own the judgment. The business keeps the knowledge.
Start with one workflow that still depends on you.
Book a free workflow callBook free callThe thinking behind the work
Decision architecture for people steering complex work.
Selle Logic’s principal-level systems and product design expertise starts by optimizing the workflow—turning complex work into clear decisions and useful tools. The result is faster execution, greater efficiency, and fewer wrong turns.
Decision architectureUser ExperienceService DesignWork status & ownershipConnected workspacesAI trust & monetizationPhone → desk handoffSpec → AI build loopWebsite audit & upgradesInformation ArchitectureData ownership & accessAI readinessOperational systems audit
Meet the founder
A steady hand for complex systems.
Meet Daniel, Founder & AI System Design Architect. 15+ years of experience turning complex workflows into clear, scalable systems. Expertise spans enterprise SaaS and AI-enabled operations and products—helping teams simplify how work gets done, turning better processes into accelerated growth.
Previous solutions
Kaslo.app
Built an AI-powered job-search workspace for experienced product design engineers—helping them find and track roles, rank opportunities, tailor applications, and move from search to interview with more clarity.
Built 0→1: a custom app combining a searchable directory, personal workspace, application funnel, and AI-assisted decision tools.Previous solutions
AppleCare Digital
Designed complex workflows at global scale for millions of articles and viewers, spanning content creation, localization, permissions, security, governance, validation, and publishing for a global content management system (CMS).
5+ years shaping the systems behind a global enterprise authoring & publishing platform.Previous solutions
Palmetto Solar App
Revived a failed home-energy app by unifying a fragmented customer journey. Connected installation, monitoring, billing, and support into one mobile experience—simplifying how customers managed their relationship with Palmetto.
Strategy → system design → launch-ready MVP in four months.For owner-led businesses
Start where work gets stuck.
Each engagement has a clear beginning, a working system, and an honest handoff.
01 / Short engagement
2 weeks
AI Readiness Blueprint
Find the workflow, information gaps, and ownership issues preventing AI from doing useful work.
- Owner working sessions
- Workflow and information map
- Systems, ownership, and access review
- AI fit and human-review rules
- Prioritized 90-day roadmap
02 / Medium engagement
Recommended3 months
Focused Systems Partner
Design, implement, and establish one AI-assisted workflow your team can run without you.
- Map, prototype, and test
- Operator copy and interaction
- Working automation delivered
- Team training and documentation
- Results review and handoff
03 / Systems leadership
3 months
Embedded Systems Partner
Stabilize one operational lane that crosses people, tools, and locations.
- Weekly owner working session
- Cross-team workflow architecture
- One active implementation at a time
- Workflow automation delivered and adopted
- Roadmap for the next lane
For software teams & industry experts
Build the right AI product before you build too much.
For a small software team defining its next AI capability—or an industry expert turning hard-won knowledge into a credible product direction. Selle clarifies the buyer, workflow, role of AI, human oversight, and first version worth building.
Principal-level product architecture and more than 15 years of shipped software experience bring rigor to the opportunity before engineering investment grows.
AI product engagement
Four to six weeks
AI Product Architecture Sprint
Turn a real business problem into an AI product your team can evaluate, fund, and build.
- Buyer, problem, and workflow definition
- AI responsibilities and human review
- Product concept and working prototype
- Data requirements and system boundaries
- MVP roadmap and build-ready brief
A few honest answers
Smart systems start with the right limits.
What kinds of problems are a good fit?
Recurring work that repeatedly comes back to the owner: scattered requests, fragile handoffs, missing follow-up, status chasing, or decisions that only one person knows how to make. The best starting point is one important workflow that happens often enough to improve and measure.
How do we know AI is the right tool?
We don’t assume it is. First we separate the workflow problem from the technology. The right answer may be a clearer rule, a better handoff, a connection between existing tools, or an AI-assisted step. AI earns a place only when it can take on useful work without adding unnecessary risk.
I already use ChatGPT or Claude. Why do I need this?
Chat tools answer questions. They don’t know your jobs, your handoffs, or who’s supposed to follow up. We design the system around your work, then add AI where it earns its place.
What does it mean for a business to be AI-ready?
It means the work is clear enough for a system to support: required information has a dependable home, ownership and access are defined, decisions have rules, and people remain responsible for important approvals. Readiness does not require replacing every tool or cleaning the entire company at once.
Do we need to replace our software?
Usually, no. We begin with the tools your team already uses and find the stage that is stalling. New software is recommended or built only when it solves a specific gap that the current setup cannot.
Does our team need to be technical?
No. We need the owner, the person closest to the work, and a small group who will actually use the system. Selle handles the system design and implementation, then leaves the team with clear ownership, training, and documentation.
How is our business information handled?
Access is limited to what the chosen workflow requires. We define what information the system can use, where it belongs, and which decisions still require a person. The goal is to keep company knowledge inside a clear, owned workflow rather than scattered across personal inboxes and memory.
How soon will we see something useful?
The 2-week AI Readiness Blueprint produces a clear recommendation and next-step plan. 3-month engagements move from mapping into prototypes, testing, and a working system, with the team reviewing progress along the way.
What does an engagement cost?
The AI Readiness Blueprint is $2,200 fixed. The Focused Systems Partner engagement is $4,000 per month for 3 months, and the Embedded Systems Partner engagement is $7,500 per month for 3 months. The AI Product Architecture Sprint starts at $15,000. The AI Readiness Blueprint fee is credited toward an owner-led 3-month engagement started within 14 days.
What happens in the first conversation?
You leave knowing which stage is stalling, what is reversible, and whether the next move is a rule, a thin tool, or waiting on a bigger purchase. If there is no useful fit, we’ll say so.
Start where work stalls
What keeps getting missed, delayed, or sent back to you?
Bring an inquiry that went cold, an estimate waiting for approval, a request buried in texts, or a handoff nobody clearly owns. We’ll follow the work, find where it breaks down and name the first useful system to build.
Bring us the stuck workflow